D Preethi

551 total citations
20 papers, 355 citations indexed

About

D Preethi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, D Preethi has authored 20 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in D Preethi's work include Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Advanced Malware Detection Techniques (4 papers). D Preethi is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Advanced Malware Detection Techniques (4 papers). D Preethi collaborates with scholars based in India, Afghanistan and Saudi Arabia. D Preethi's co-authors include Neelu Khare, Byungun Yoon, Sweta Bhattacharya, Chiranji Lal Chowdhary, Saurabh Singh, Sandeep Kumar Mathivanan, Mohd Asif Shah, P. Della Monica, Saravanan Srinivasan and G.C. Che and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and Electronics.

In The Last Decade

D Preethi

12 papers receiving 338 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D Preethi India 6 207 196 115 35 32 20 355
Fanzhi Meng China 8 213 1.0× 208 1.1× 122 1.1× 63 1.8× 22 0.7× 12 372
Labib M. Labib Egypt 8 219 1.1× 103 0.5× 63 0.5× 57 1.6× 32 1.0× 14 382
Ayman Yafoz Saudi Arabia 13 143 0.7× 124 0.6× 57 0.5× 47 1.3× 60 1.9× 54 361
Koyel Datta Gupta India 9 94 0.5× 142 0.7× 59 0.5× 19 0.5× 37 1.2× 25 268
Kamlesh Kumar China 10 107 0.5× 95 0.5× 58 0.5× 111 3.2× 29 0.9× 35 302
Ramesh Vatambeti India 12 127 0.6× 192 1.0× 37 0.3× 45 1.3× 68 2.1× 61 447
K. Venkatalakshmi India 11 126 0.6× 135 0.7× 55 0.5× 36 1.0× 43 1.3× 34 328
Yasser Alharbi Saudi Arabia 8 109 0.5× 77 0.4× 43 0.4× 33 0.9× 22 0.7× 23 244
Kai Cheng China 7 130 0.6× 122 0.6× 69 0.6× 32 0.9× 38 1.2× 23 315
Mohammed Eshtay Jordan 9 262 1.3× 68 0.3× 35 0.3× 57 1.6× 32 1.0× 15 394

Countries citing papers authored by D Preethi

Since Specialization
Citations

This map shows the geographic impact of D Preethi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D Preethi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Preethi more than expected).

Fields of papers citing papers by D Preethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D Preethi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D Preethi. The network helps show where D Preethi may publish in the future.

Co-authorship network of co-authors of D Preethi

This figure shows the co-authorship network connecting the top 25 collaborators of D Preethi. A scholar is included among the top collaborators of D Preethi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D Preethi. D Preethi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Preethi, D, et al.. (2025). Innovative technique for minimizing potential risks to secure hybrid cloud networks. International Journal of Systems Assurance Engineering and Management.
2.
Srinivasan, Saravanan, et al.. (2024). Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach. BMC Medical Imaging. 24(1). 147–147. 17 indexed citations
3.
Alkhalefah, Hisham, D Preethi, Neelu Khare, Mustufa Haider Abidi, & Usama Umer. (2024). Deep learning infused SIRVD model for COVID-19 prediction: XGBoost-SIRVD-LSTM approach. Frontiers in Medicine. 11. 1427239–1427239. 2 indexed citations
4.
5.
Preethi, D, et al.. (2024). Efficient brain tumor grade classification using ensemble deep learning models. BMC Medical Imaging. 24(1). 297–297. 4 indexed citations
6.
Ayyadurai, M., et al.. (2024). Exploring Data Mining Techniques for Early Autism Detection using Random Forest Algorithm. 1–6. 1 indexed citations
7.
Abidi, Mustufa Haider, Neelu Khare, D Preethi, Hisham Alkhalefah, & Usama Umer. (2024). EFS-XGBoost: A robust framework for precision classification of COVID-19 cases. Intelligent Data Analysis. 29(1). 171–185.
8.
9.
Preethi, D, et al.. (2023). AUTONOMOUS TRAFFIC PREDICTION: A DEEP LEARNING-BASED FRAMEWORK FOR SMART MOBILITY. SHILAP Revista de lepidopterología. 5(S1). 35–46.
10.
Preethi, D & Rajendra Pandey. (2023). Application of Hadoop for Analyzing Data Using Mapper Files. 1927–1930. 2 indexed citations
11.
12.
Che, G.C. & D Preethi. (2022). Comparative Study of Personality Prediction Using Machine Learning Algorithms. International Journal of Science and Research (IJSR). 11(6). 552–557. 1 indexed citations
13.
Merlín, R. & D Preethi. (2022). A Study of Machine Learning Algorithms for Concrete Compressive Strength Prediction. International Journal of Science and Research (IJSR). 11(6). 558–561.
14.
15.
Preethi, D & Neelu Khare. (2021). An Intelligent Network Intrusion Detection System Using Particle Swarm Optimization (PSO) and Deep Network Networks (DNN). International Journal of Swarm Intelligence Research. 12(2). 57–73. 8 indexed citations
16.
Preethi, D & Neelu Khare. (2020). An efficient XGBoost–DNN-based classification model for network intrusion detection system. Neural Computing and Applications. 32(16). 12499–12514. 192 indexed citations
17.
Preethi, D & Neelu Khare. (2020). Performance Evaluation of Shallow learning techniques and Deep Neural Network for Cyber Security. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 1–5. 4 indexed citations
18.
Khare, Neelu, D Preethi, Chiranji Lal Chowdhary, et al.. (2020). SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection. Electronics. 9(4). 692–692. 102 indexed citations
19.
Preethi, D & Neelu Khare. (2020). EFS-LSTM (Ensemble-Based Feature Selection With LSTM) Classifier for Intrusion Detection System. International Journal of e-Collaboration. 16(4). 72–86. 10 indexed citations
20.
Preethi, D & Neelu Khare. (2020). Sparse auto encoder driven support vector regression based deep learning model for predicting network intrusions. Peer-to-Peer Networking and Applications. 14(4). 2419–2429. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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